Results 171 to 180 of about 120,140 (335)
Text-Guided Contrastive Mamba for Hyperspectral Image Classification
Hyperspectral image (HSI) classification is challenging due to their high spectral complexity and the need to model long-range dependencies. Although contrastive learning has shown promise, most existing approaches rely on convolutional neural networks ...
Baokai Zu +5 more
doaj +1 more source
On the Similarities of Embeddings in Contrastive Learning
contrastive learning, representation learning, embedding, similarity, negative pair, positive ...
Chungpa Lee +3 more
openaire +2 more sources
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
A Comparative Study of Contemporary Learning Paradigms in Bug Report Priority Detection
The increasing complexity of software development demands efficient automated bug report priority classification, and recent advancements in deep learning hold promise. This paper presents a comparative study of contemporary learning paradigms, including
Eyup Halit Yilmaz +2 more
doaj +1 more source
Towards Precise and Robust Hippocampus Segmentation using Self-Supervised Contrastive Learning
Kassymzhomart Kunanbayev +3 more
openalex +1 more source
Multi-granularity Inter-class Correlation Based Contrastive Learning for Open Set Recognition [PDF]
Pengfei Zhu +3 more
openalex +1 more source
Effect of Laser Deoxidation on Adhesive‐Bonded Aluminum in an Oxygen‐Free Atmosphere
This study investigates laser ablation of aluminum under oxygen‐free conditions. The goal is to produce oxide‐free substrates that enable improved adhesive bonding with epoxy. Optimized laser parameters (90% overlap, 300 µJ) combined with oxide‐free substrates result in the highest tensile strength of the adhesive bond.
Sandra Gerland +5 more
wiley +1 more source
Recent research has revealed that traditional machine learning methods, such as semi-supervised label propagation and K-nearest neighbors, outperform Transformer-based models in artifact detection from photoplethysmogram (PPG) signals, mainly when data ...
Thanh-Dung Le +4 more
doaj +1 more source
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source

